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XRPLHub — XRPLScore, MPT issuer risk & payment pre-checks

check_wallet_permissions

Who can move money out of an XRPL wallet: its master key, a regular key, a multi-sign signer list, permission delegations (given and received — live on mainnet since 2026-10-08), and money others can pull without a new approval (checks, payment channels, escrows, open DEX and NFT offers, tickets). One plain-English sentence per finding plus the raw ledger facts. This is a PAID x402 call: $0.02 in USDC on Base or RLUSD on the XRP Ledger at GET /api/x402/permissions?address=r.... This tool returns the payment resource to call; it does not run the check. People can use the free page at https://www.xrplhub.io/permissions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYesThe XRPL account (r...) to check

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and does so: it discloses the exact cost ($0.02 USDC on Base or RLUSD on XRPL), the endpoint, and the critical behavioral quirk that this tool returns the payment resource to call rather than performing the check. That non-execution caveat is exactly the kind of trait an agent would otherwise get wrong.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the core purpose in the first sentence and keeps the payment/non-execution caveat prominent. The output-format sentence and the free-page pointer each earn their place, though the enumeration of permission types is denser than strictly necessary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, yet the description explains what comes back — one plain-English sentence per finding plus raw ledger facts — and fully covers the payment flow and the tool's non-executing nature. Nothing needed to invoke or interpret it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for the single address parameter, so the schema already documents it fully. The description reinforces the r... format via the endpoint example but adds no semantics beyond that; baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource — determining who can move money out of an XRPL wallet — and enumerates the exact permission surfaces covered (master key, regular key, signer list, permission delegations, checks, channels, escrows, offers, tickets). This distinguishes it cleanly from siblings like check_xrpl_score or precheck_payment.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives clear context: it is a paid x402 call returning the payment resource rather than running the check, and names the alternative for people who just want the result (the free page at xrplhub.io/permissions). It does not explicitly say when to prefer this over sibling check_* tools, so it falls short of full when/when-not routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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